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  RAHUL'S ML BLOG -- notes on machine learning, worked out by hand                    est. 2026
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  ALL POSTS -- a book in 28 posts: 10 chapters + an appendix, in reading order.
  First time here? Start from the beginning.


  CHAPTER 1 -- PREDICTING HOUSE PRICES (2026)
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  post 1/28   Part 1 -- Guessing House Prices, End to End
  post 2/28   Part 2 -- Ask the Closest Rows: Gap, Same-Ruler, and How Slow It Gets
  post 3/28   Part 3 -- The Straight-Stick Rule: Dials, Leftovers, and Numerics


  CHAPTER 2 -- GRADING A GUESSER (2026)
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  post 4/28   Part 1 -- Two Rulers for One Guess: MSE and R^2
  post 5/28   Part 2 -- Reading the Dials: What the Coefficients Say


  CHAPTER 3 -- SORTING INTO BINS (2026)
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  post 6/28   Part 1 -- The S-Curve, the Four-Box Table, and Why Accuracy Lies
  post 7/28   Part 2 -- The Trade Curve: Sliding the Cutoff and What AUC Measures
  post 8/28   Part 3 -- Leash and Cloud: L2 Punishment and the Two-Cloud Wall
  post 9/28   Part 4 -- Picking Settings, Skewed Piles, and Averaging Many Classes


  CHAPTER 4 -- HUMBLE DIALS AND WOBBLE BANDS (2026)
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  post 10/28  Part 1 -- The Leash: Ridge, Lasso, and Humbling the Dials
  post 11/28  Part 2 -- One Dial Is a Lie: Bootstrap, Wobble Bands, and the Free Exam
  post 12/28  Part 3 -- The Dial by Hand: Where the Dials Really Come From


  CHAPTER 5 -- QUESTION CHARTS AND COMMITTEES (2026)
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  post 13/28  Part 1 -- Question Charts: Building a Tree by Hand
  post 14/28  Part 2 -- The Mixing Ruler: Gini, Information Gain, and Pruning
  post 15/28  Part 3 -- Committees: Bagging, Random Forest, and Boosting


  CHAPTER 6 -- FINDING PATTERNS WITHOUT ANSWERS (2026)
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  post 16/28  Part 1 -- Looking at a Sheet With No Answers: Means, Distance, and the Ruler Problem
  post 17/28  Part 2 -- The Strongest Direction: Crushing a Many-Wall Room Into a Flat Page (PCA)
  post 18/28  Part 3 -- Grouping by Nearest Centre: K-Means From a Blank Sheet
  post 19/28  Part 4 -- The Family Tree: Hierarchical Clustering and the Dendrogram
  post 20/28  Part 5 -- Both Tools on NCI60: PCA and Clustering on Real Gene Data
  post 21/28  Part 6 -- Filling the Blanks: Recommender Systems and Matrix Factorisation


  CHAPTER 7 -- BUILDING A NEURAL NETWORK FROM SCRATCH (2026)
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  post 22/28  Part 1 -- Stacked Rooms and One Walk by Hand: How a Network Computes a Guess
  post 23/28  Part 2 -- Rolling Downhill by Hand: How a Network Learns


  CHAPTER 8 -- KEEPING A NETWORK HONEST (2026)
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  post 24/28  Five Machines Against Memorising: A Tax, a Coffee Break, a Fire Alarm, and a Humbler


  CHAPTER 9 -- MACHINES THAT LOOK AT PICTURES (2026)
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  post 25/28  Part 1 -- A Magic Paper Slid Over a Photo: How a Picture Network Sees
  post 26/28  Part 2 -- The Deep Factory: Humbler, Send-Home, and the Confusion Sheet


  CHAPTER 10 -- MACHINES THAT READ WORDS (2026)
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  post 27/28  Part 1 -- Words Into a Machine: The Notepad and the Walking Worker
  post 28/28  Part 2 -- The Two-Memory Worker: How an LSTM Remembers Far-Back Words


  APPENDICES -- FLIP-TO REFERENCES (2026)
  ---------------------------------------
  reference   A. Classification Reference -- Loss, Leash, Grid, and All the Terms
  reference   B. Distance and Clustering Reference -- Rulers, Traps, and Ethics
  reference   C. LSTM From Pencil -- RNN and LSTM From Scratch, Nothing But a Pencil

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